本研究借助无人机摄影测量采集的高分辨率影像，应用运动结构重建技术生成研

This study by UAV photogrammetry high resolution image acquisition, image reconstruction point cloud technology generated applying motion study area configuration data, and using the determination of different ages in the study area dividing method of the point cloud from poplar and fir-based plots into a single timber extraction and accuracy verification; and finally, by means of correct extraction of Individual tree height calculate the average dominant tree stand high, combined with small classes where plots of forest age of information, preparation of site class index of the study area poplar and fir plantation site quality evaluation, respectively.

With the help of high-resolution images collected by aerial survey, this study uses motion structure reconstruction technology to generate image point cloud data in the study area, and uses the distance-based division method of point clouds to extract and verify the accuracy of different ages of sequoia and poplar trees in the study area. By using the correct extraction of single wood tree high calculation forest advantage superior wood average high, and combined with the sample of small class forest age information, the establishment of status-level index for the study area of poplar and sequoia artificial forest sittly on the quality evaluation.

In this study, with the help of the high-resolution image collected by UAV photogrammetry, the point cloud data of the image in the study area is generated by using the technology of motion structure reconstruction, and the single tree extraction and accuracy verification are carried out for the different age samples of Metasequoia and poplar in the study area by using the distance discrimination segmentation method based on the point cloud; finally, the average of dominant trees is calculated by using the correctly extracted height of single tree The site quality of poplar and Metasequoia plantation in the study area was evaluated by site index.<br>